Senior Consultant, AI & Data Engineering

Castleton Tower Consulting, LLC; New York (NY); Hybrid; USD 250,000 - 500,000; Full time

Benefits offered by this job

Path to Partnership

Direct Mentorship from Principals

Modern Tech Stack

Job summary

Castleton Tower Consulting, LLC is seeking a Technical Leader to design and build data platforms for investment firms in New York City. The role focuses on hands-on engineering while engaging with clients to ensure robust, automated tools. Ideal candidates will have 7+ years of experience, strong proficiency in Python and SQL, and familiarity with data warehousing principles. The position offers a hybrid work model and competitive compensation ranging from $250K to $500K+, along with the opportunity for firm equity.

Qualifications

• 7+ years of experience in a technical or analytical role.
• Demonstrated project leadership overseeing technical delivery.
• Proficiency in Python, advanced SQL, and experience with cloud platforms.

Responsibilities

• Lead design and implementation of data platforms.
• Develop production-grade code for data transformation.
• Collaborate with clients to design automated tools.

Skills

Python

SQL

Data warehousing

Data modelling

Cloud platforms

Tools

Snowflake

Databricks

Pandas

NumPy

Scikit-learn

Job description

The Firm

Castleton Tower is a boutique consulting firm founded by executives who have built and led quantitative research, data science, and technology teams at top-tier hedge funds and asset managers. We work exclusively with investment management firms (RIAs, family offices, hedge funds, and asset allocators) helping them modernise their data infrastructure and build AI‑ready foundations.

What makes us different: We are a lean firm where senior practitioners do the actual work. No armies of junior consultants learning on your dime. Our engagements blend high‑level strategy with hands‑on technical implementation. We assess your technical and business strategy, design your data architecture and also code up the full stack infrastructure where needed.

The Opportunity

We are looking for a technical leader who can design and build data platforms for investment firms. This role emphasises hands‑on engineering while maintaining strategic client engagement. You will architect data warehouses, build production pipelines, and develop quantitative tools that directly support investment decisions.

What you’ll get

• Strategic Impact: Lead full‑scope projects from architecture design to production deployment
• Direct Mentorship: Work alongside the firm's Principals on every engagement
• Modern Tech Stack: Work with best‑in‑class tools (Snowflake, Databricks, dbt, Dagster, cloud infrastructure, etc.) and cutting‑edge AI‑/agentic development workflows
• Path to Partnership: Clear trajectory toward firm equity and partnership for high performers

Core Responsibilities

Technical Leadership

• Lead the design and implementation of scalable data platforms (data warehouses, data lakes) and end‑to‑end data pipelines
• Develop and optimise production‑grade code (Python/Spark) for data transformation and financial analysis
• Build customised analytical applications, dashboards, and quantitative investment tools
• Ensure efficient delivery and adherence to data governance and integrity standards

Client Engagement

• Collaborate with client investment teams to translate investment‑process requirements into robust, automated tools and data products
• Provide technical and project leadership across engagements
• Understand client business context to ensure technical solutions solve real problems

Qualifications

Required

• 7+ years of hands‑on experience in a technical or analytical role (Quant, Quant Dev, Data Scientist, or Data Engineer). Minimum of 5 years for highly exceptional candidates
• Prior experience at hedge funds, fintech firms/startups, market makers, or top‑tier asset‑management firms. Experience at top technology or strategy consulting firms considered on a case‑by‑case basis
• Demonstrated project leadership, ideally overseeing technical delivery from inception to production
• Proficiency in Python (Pandas, NumPy, Scikit‑learn) and advanced SQL query optimisation
• Experience with at least one major cloud platform (AWS, GCP, or Azure) and associated data services (Snowflake, Databricks)
• Deep understanding of data modelling and data‑warehousing principles

Valued

• Familiarity with data pipeline orchestration tools (Airflow, Dagster, Prefect)
• Experience building quantitative trading or investment tools
• Background in financial data (market data, portfolio analytics, fund accounting)

Personal Attributes

• High ownership mentality: you see problems through to resolution without being told
• Understands what high‑quality work looks like and how to deliver it
• Curious and interested in learning about new technologies and the investment industry
• Seeks to understand the broader business context, not just the technical requirements
• Independent thinker who takes initiative

Location & Compensation

Location

Hybrid in the NYC area. Expect to travel roughly one week per month for on‑site client work.

Compensation

• Total expected compensation: $250 to $500K+ (commensurate with experience)
• Firm equity available for high performers
• Compensation range: $250K - $500K